×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

PyTorch Complete Beginner

Track :

Programming

Lessons no : 22

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master fundamental PyTorch tensor operations for machine learning and deep learning applications
  • Implement neural network models using PyTorch for real-world AI projects and data analysis
  • Utilize PyTorch autograd for efficient automatic differentiation in deep learning workflows
  • Develop custom loss functions and optimization algorithms with PyTorch for improved model performance
  • Apply PyTorch data loading and preprocessing techniques for scalable machine learning pipelines
  • Debug and troubleshoot PyTorch models to enhance accuracy and reliability in AI solutions
  • Integrate PyTorch with other Python libraries like NumPy for seamless data manipulation and experimentation
  • Deploy trained PyTorch models into production environments for practical AI applications
  • Understand PyTorch's architecture to optimize model training and inference speed
  • Leverage PyTorch tutorials and community resources for continuous learning and project development

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 22


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Installation instructions were dated. Easier to follow examples would be better 2025-04-30

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

React Projects Workshops
33 Lessons

React Projects Workshops

Node js back end JavaScript
34 Lessons

Node js back end JavaScript

Python programming language
15 Lessons

Python programming language

Social Network Theme UI With Sass
4 Lessons

Social Network Theme UI With Sass

Full Stack React Django
7 Lessons

Full Stack React Django

Build a Node js App With Sequelize
3 Lessons

Build a Node js App With Sequelize

GraphQL With React Apollo
4 Lessons

GraphQL With React Apollo

Node js REST API With Restify Mongoose JWT
2 Lessons

Node js REST API With Restify Mongoose JWT

Full Stack Vue js Express MongoDB
3 Lessons

Full Stack Vue js Express MongoDB

Exploring Docker
3 Lessons

Exploring Docker

Responsive Portfolio Website
7 Lessons

Responsive Portfolio Website

The MERN Stack
12 Lessons

The MERN Stack

PHP REST API High level
3 Lessons

PHP REST API High level

Up unning With Symfony 4
3 Lessons

Up unning With Symfony 4

JavaScript Workshops
3 Lessons

JavaScript Workshops

PHP MySQL Stripe API Payment App
3 Lessons

PHP MySQL Stripe API Payment App

A good use case of Numpy is quick experimentation and small projects because Numpy is a light weight framework compared to PyTorch. Moreover, PyTorch lacks a few advanced features as you'll read below so it's strongly recommended to use numpy in those cases .